Colorado's 4–1 final underrepresents their dominance. The Avalanche created seven high-danger chances; Columbus generated none.

COL controlled 69% of 5v5 expected goals (5.72–2.61 xG). Their shot quality was superior—0.074 xG per attempt against 0.047 for Columbus. Better chances compound across sixty minutes.

V. Nichushkin's wrist shot from the slot at 18:07 in the third period sealed the result. Colorado added two more goals from low-danger situations, an outcome that follows total possession dominance.

Both teams underperformed their expected goal totals by similar margins: Columbus by 1.61, Colorado by 1.72. E. Merzlikins exceeded expected by 2.72 saves (0.914 SV%), while S. Wedgewood exceeded expected by 1.61 saves (0.957 SV%). Wedgewood's advantage may have decided it.

Columbus held 39% of shot attempts (23–36), a split that on paper suggests balance. The underlying numbers tell a different story. When one team generates seven high-danger chances and the other generates zero, no shot volume can close the gap.

The models see a toss-up: Colorado projects to 2.7 goals against Columbus's 2.6, leaving the Blue Jackets at 48% win probability. Call this a pick'em.

Colorado's pedigree in this matchup lies in underlying dominance. At 5v5, the Avalanche own 57.0% expected goals and 57.0% Corsi, meaning they'll control territory and generate chances at a higher rate than Columbus's 52.0% xG and 51.0% Corsi. That's the structural advantage.

Recent form tips slightly Colorado's way. The Avalanche have gone 7-2-1 in their last 10, a pace that outpaces typical playoff-caliber hockey. But there's a caveat buried in the numbers: Colorado's PDO of 1.021 suggests they're running hot relative to their underlying performance, while Columbus sits at a more sustainable 1.003. Translation—Colorado is getting lucky and regression awaits.

Artturi Lehkonen drives Colorado's offense at 1.11 xG per 60 minutes and has parlayed that into 18 goals and 22 assists, with 6 in high-danger areas and a 14.9% shooting rate that feels repeatable. Ross Colton runs a similar xG rate (1.10) but converts at just 4.9%—7 goals on 15 assists with only 1 high-danger marker—a mismatch that limits his upside.

Columbus counters with Boone Jenner, who generates 0.98 xG/60 and has reached 11 goals and 21 assists with 2 high-danger goals and a respectable 9.6% shooting percentage. Mathieu Olivier (0.89 xG/60, 12G, 9A) is week-to-week with an upper-body injury and likely unavailable. That removes a secondary scoring source.

The defensive vulnerabilities—Nazem Kadri for Colorado, Conor Garland for Columbus—will factor in how each team manages pressure. Neither team has converted at an outsized rate from high-danger or rebound situations (both at 0%), so execution in tight areas becomes crucial.

Three Things to Watch

• Whether Colorado's Corsi dominance (57.0%) translates to sustained offensive pressure or stalls against Columbus's neutral-zone discipline.
• Lehkonen's ability to sustain his 14.9% shooting rate while continuing to generate at 1.11 xG/60.
• Columbus's capacity to exploit Colorado's regression risk—if the PDO normalizes downward, the Avalanche's margin evaporates fast.

Data: MoneyPuck 5v5 models, NHL API